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Zhang J, Chen X, Cao J, Chang C, Geng A, Wang H, Chu Q, Yan Z, Zhang Y, Liu H. Proteomic Profiling of Thigh Meat at Different Ages of Chicken for Meat Quality and Development. Foods 2023; 12:2901. [PMID: 37569170 PMCID: PMC10418907 DOI: 10.3390/foods12152901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/20/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Chicken age contributes to the meat characteristics; however, knowledge regarding the pathways and proteins associated with meat quality and muscle development are still scarce, especially in chicken thigh meat. Hence, the objective of this study was to elucidate the intricate relationship between these traits by liquid chromatography mass spectrometry at three different ages. A total of 341 differential expressed proteins (DEPs) were screened out (fold change ≥ 1.50 or ≤0.67 and p < 0.05) among 45 thigh meat samples (15 samples per age) of Beijing-You chicken (BYC), collected at the age of 150, 300, or 450 days (D150, D300, and D450), respectively. Subsequently, based on the protein interaction network and Markov cluster algorithm (MCL) analyses, 91 DEPs were divided into 26 MCL clusters, which were associated with pathways of lipid transporter activity, nutrient reservoir activity, signaling pathways of PPAR and MAPK, focal adhesion, ECM-receptor interaction, the cell cycle, oocyte meiosis, ribosomes, taurine and hypotaurine metabolism, glutathione metabolism, muscle contraction, calcium signaling, nucleic acid binding, and spliceosomes. Overall, our data suggest that the thigh meat of BYC at D450 presents the most desirable nutritional value in the term of free amino acids (FAAs) and intramuscular fat (IMF), and a series of proteins and pathways associated with meat quality and development were identified. These findings also provide comprehensive insight regarding these traits across a wide age spectrum.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Huagui Liu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (J.Z.); (X.C.); (J.C.); (C.C.); (A.G.); (H.W.); (Q.C.); (Z.Y.); (Y.Z.)
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2
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Agosto LM, Mallory MJ, Ferretti MB, Blake D, Krick KS, Gazzara MR, Garcia BA, Lynch KW. Alternative splicing of HDAC7 regulates its interaction with 14-3-3 proteins to alter histone marks and target gene expression. Cell Rep 2023; 42:112273. [PMID: 36933216 PMCID: PMC10113009 DOI: 10.1016/j.celrep.2023.112273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/28/2023] [Accepted: 03/02/2023] [Indexed: 03/19/2023] Open
Abstract
Chromatin regulation and alternative splicing are both critical mechanisms guiding gene expression. Studies have demonstrated that histone modifications can influence alternative splicing decisions, but less is known about how alternative splicing may impact chromatin. Here, we demonstrate that several genes encoding histone-modifying enzymes are alternatively spliced downstream of T cell signaling pathways, including HDAC7, a gene previously implicated in controlling gene expression and differentiation in T cells. Using CRISPR-Cas9 gene editing and cDNA expression, we show that differential inclusion of HDAC7 exon 9 controls the interaction of HDAC7 with protein chaperones, resulting in changes to histone modifications and gene expression. Notably, the long isoform, which is induced by the RNA-binding protein CELF2, promotes expression of several critical T cell surface proteins including CD3, CD28, and CD69. Thus, we demonstrate that alternative splicing of HDAC7 has a global impact on histone modification and gene expression that contributes to T cell development.
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Affiliation(s)
- Laura M Agosto
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael J Mallory
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Max B Ferretti
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Davia Blake
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Keegan S Krick
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew R Gazzara
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Genomic and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kristen W Lynch
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA; Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA; Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA.
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3
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Choi JO, Ham JH, Hwang SS. RNA Metabolism in T Lymphocytes. Immune Netw 2022; 22:e39. [PMID: 36381959 PMCID: PMC9634142 DOI: 10.4110/in.2022.22.e39] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/18/2022] [Accepted: 08/30/2022] [Indexed: 01/25/2023] Open
Abstract
RNA metabolism plays a central role in regulating of T cell-mediated immunity. RNA processing, modifications, and regulations of RNA decay influence the tight and rapid regulation of gene expression during T cell phase transition. Thymic selection, quiescence maintenance, activation, differentiation, and effector functions of T cells are dependent on selective RNA modulations. Recent technical improvements have unveiled the complex crosstalk between RNAs and T cells. Moreover, resting T cells contain large amounts of untranslated mRNAs, implying that the regulation of RNA metabolism might be a key step in controlling gene expression. Considering the immunological significance of T cells for disease treatment, an understanding of RNA metabolism in T cells could provide new directions in harnessing T cells for therapeutic implications.
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Affiliation(s)
- Jin Ouk Choi
- Department of Biochemistry and Molecular Biology, Graduate School of Medical Science, Severance Biomedical Science Institute and Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Jeong Hyeon Ham
- Department of Biochemistry and Molecular Biology, Graduate School of Medical Science, Severance Biomedical Science Institute and Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Soo Seok Hwang
- Department of Biochemistry and Molecular Biology, Graduate School of Medical Science, Severance Biomedical Science Institute and Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Korea.,Chronic Intractable Disease Systems Medicine Research Center, Institute of Genetic Science, Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul 03722, Korea
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4
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García-Corzo L, Calatayud-Baselga I, Casares-Crespo L, Mora-Martínez C, Julián Escribano-Saiz J, Hortigüela R, Asenjo-Martínez A, Jordán-Pla A, Ercoli S, Flames N, López-Alonso V, Vilar M, Mira H. The transcription factor LEF1 interacts with NFIX and switches isoforms during adult hippocampal neural stem cell quiescence. Front Cell Dev Biol 2022; 10:912319. [PMID: 35938168 PMCID: PMC9355129 DOI: 10.3389/fcell.2022.912319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/27/2022] [Indexed: 11/25/2022] Open
Abstract
Stem cells in adult mammalian tissues are held in a reversible resting state, known as quiescence, for prolonged periods of time. Recent studies have greatly increased our understanding of the epigenetic and transcriptional landscapes that underlie stem cell quiescence. However, the transcription factor code that actively maintains the quiescence program remains poorly defined. Similarly, alternative splicing events affecting transcription factors in stem cell quiescence have been overlooked. Here we show that the transcription factor T-cell factor/lymphoid enhancer factor LEF1, a central player in canonical β-catenin-dependent Wnt signalling, undergoes alternative splicing and switches isoforms in quiescent neural stem cells. We found that active β-catenin and its partner LEF1 accumulated in quiescent hippocampal neural stem and progenitor cell (Q-NSPC) cultures. Accordingly, Q-NSPCs showed enhanced TCF/LEF1-driven transcription and a basal Wnt activity that conferred a functional advantage to the cultured cells in a Wnt-dependent assay. At a mechanistic level, we found a fine regulation of Lef1 gene expression. The coordinate upregulation of Lef1 transcription and retention of alternative spliced exon 6 (E6) led to the accumulation of a full-length protein isoform (LEF1-FL) that displayed increased stability in the quiescent state. Prospectively isolated GLAST + cells from the postnatal hippocampus also underwent E6 retention at the time quiescence is established in vivo. Interestingly, LEF1 motif was enriched in quiescence-associated enhancers of genes upregulated in Q-NSPCs and quiescence-related NFIX transcription factor motifs flanked the LEF1 binding sites. We further show that LEF1 interacts with NFIX and identify putative LEF1/NFIX targets. Together, our results uncover an unexpected role for LEF1 in gene regulation in quiescent NSPCs, and highlight alternative splicing as a post-transcriptional regulatory mechanism in the transition from stem cell activation to quiescence.
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Affiliation(s)
- Laura García-Corzo
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Isabel Calatayud-Baselga
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Lucía Casares-Crespo
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Carlos Mora-Martínez
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
- Evo-devo Helsinki Community, Centre of Excellence in Experimental and Computational Developmental Biology, Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Juan Julián Escribano-Saiz
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | | | | | - Antonio Jordán-Pla
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Stefano Ercoli
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Nuria Flames
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | | | - Marçal Vilar
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
| | - Helena Mira
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas (IBV-CSIC), València, Spain
- *Correspondence: Helena Mira,
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5
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Krueger A, Łyszkiewicz M, Heissmeyer V. Post-transcriptional control of T-cell development in the thymus. Immunol Lett 2022; 247:1-12. [DOI: 10.1016/j.imlet.2022.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 03/18/2022] [Accepted: 04/26/2022] [Indexed: 11/05/2022]
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6
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Nasiri-Aghdam M, Garcia-Garduño TC, Jave-Suárez LF. CELF Family Proteins in Cancer: Highlights on the RNA-Binding Protein/Noncoding RNA Regulatory Axis. Int J Mol Sci 2021; 22:11056. [PMID: 34681716 PMCID: PMC8537729 DOI: 10.3390/ijms222011056] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/06/2021] [Accepted: 10/10/2021] [Indexed: 12/17/2022] Open
Abstract
Post-transcriptional modifications to coding and non-coding RNAs are unquestionably a pivotal way in which human mRNA and protein diversity can influence the different phases of a transcript's life cycle. CELF (CUGBP Elav-like family) proteins are RBPs (RNA-binding proteins) with pleiotropic capabilities in RNA processing. Their responsibilities extend from alternative splicing and transcript editing in the nucleus to mRNA stability, and translation into the cytoplasm. In this way, CELF family members have been connected to global alterations in cancer proliferation and invasion, leading to their identification as potential tumor suppressors or even oncogenes. Notably, genetic variants, alternative splicing, phosphorylation, acetylation, subcellular distribution, competition with other RBPs, and ultimately lncRNAs, miRNAs, and circRNAs all impact CELF regulation. Discoveries have emerged about the control of CELF functions, particularly via noncoding RNAs, and CELF proteins have been identified as competing, antagonizing, and regulating agents of noncoding RNA biogenesis. On the other hand, CELFs are an intriguing example through which to broaden our understanding of the RBP/noncoding RNA regulatory axis. Balancing these complex pathways in cancer is undeniably pivotal and deserves further research. This review outlines some mechanisms of CELF protein regulation and their functional consequences in cancer physiology.
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Affiliation(s)
- Maryam Nasiri-Aghdam
- División de Inmunología, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara 44340, Mexico;
- Doctorado en Genética Humana, Departamento de Biología Molecular y Genómica, Universidad de Guadalajara, Guadalajara 44340, Mexico;
| | - Texali C. Garcia-Garduño
- Doctorado en Genética Humana, Departamento de Biología Molecular y Genómica, Universidad de Guadalajara, Guadalajara 44340, Mexico;
- Centro Universitario de Ciencias de la Salud, Instituto de Investigación en Ciencias Biomédicas, Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Luis Felipe Jave-Suárez
- División de Inmunología, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara 44340, Mexico;
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7
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Blake D, Lynch KW. The three as: Alternative splicing, alternative polyadenylation and their impact on apoptosis in immune function. Immunol Rev 2021; 304:30-50. [PMID: 34368964 DOI: 10.1111/imr.13018] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 07/19/2021] [Accepted: 07/28/2021] [Indexed: 12/13/2022]
Abstract
The latest advances in next-generation sequencing studies and transcriptomic profiling over the past decade have highlighted a surprising frequency of genes regulated by RNA processing mechanisms in the immune system. In particular, two control steps in mRNA maturation, namely alternative splicing and alternative polyadenylation, are now recognized to occur in the vast majority of human genes. Both have the potential to alter the identity of the encoded protein, as well as control protein abundance or even protein localization or association with other factors. In this review, we will provide a summary of the general mechanisms by which alternative splicing (AS) and alternative polyadenylation (APA) occur, their regulation within cells of the immune system, and their impact on immunobiology. In particular, we will focus on how control of apoptosis by AS and APA is used to tune cell fate during an immune response.
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Affiliation(s)
- Davia Blake
- Immunology Graduate Group and the Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristen W Lynch
- Immunology Graduate Group and the Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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8
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Wang L, Liu Z, Liu L, Guo C, Jiao D, Li L, Zhao J, Han X, Sun Y. CELF2 is a candidate prognostic and immunotherapy biomarker in triple-negative breast cancer and lung squamous cell carcinoma: A pan-cancer analysis. J Cell Mol Med 2021; 25:7559-7574. [PMID: 34288370 PMCID: PMC8335674 DOI: 10.1111/jcmm.16791] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 06/26/2021] [Accepted: 07/02/2021] [Indexed: 12/17/2022] Open
Abstract
CUGBP Elav‐like family member 2(CELF2) plays crucial roles in the development and activation of T cell. However, the impacts of CELF2 on tumour‐infiltrating immune cells (TIICs) and clinical outcomes of tumours remain unclear. In this study, we found that elevated CELF2 expression was markedly correlated with prolonged survival in multiple tumours, particularly in breast and lung cancers. Notably, CELF2 only impacted the prognosis of triple‐negative breast cancer (TNBC) with lymph node metastasis. Further investigation showed CELF2 expression was positively correlated with the infiltration abundance of dendritic cells (DCs), CD8+ T cells and neutrophils in breast invasive carcinoma (BRCA) and DCs in lung squamous cell carcinoma (LUSC). CELF2 also had strong correlations with markers of diverse TIICs such as T cells, tumour‐associated macrophages and DCs in BRCA and LUSC. Importantly, CELF2 was significantly associated with plenty of immune checkpoint molecules (ICMs) and outperformed five prevalent biomarkers including PD‐1, PD‐L1, CTLA‐4, CD8 and tumour mutation burden in predicting immunotherapeutic responses. Immunohistochemistry also revealed lower protein levels of CELF2 in TNBC and LUSC compared to normal tissues, and patients with high expression showed significantly prolonged prognosis. In conclusion, we demonstrated that increased CELF2 expression was closely related to better prognosis and superior TIIC infiltration and ICM expression, particularly in BRCA and LUSC. CELF2 also performed well in evaluating the immunotherapeutic efficacy, suggesting CELF2 might be a promising biomarker.
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Affiliation(s)
- Libo Wang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Hepatobiliary and Pancreatic Diseases, Zhengzhou University, Zhengzhou, China.,Zhengzhou Basic and Clinical Key Laboratory of Hepatopancreatobiliary Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Long Liu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chunguang Guo
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dechao Jiao
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lifeng Li
- Internet Medical and System Applications of National Engineering Laboratory, Zhengzhou, China.,Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Zhao
- Internet Medical and System Applications of National Engineering Laboratory, Zhengzhou, China.,Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuling Sun
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Institute of Hepatobiliary and Pancreatic Diseases, Zhengzhou University, Zhengzhou, China.,Zhengzhou Basic and Clinical Key Laboratory of Hepatopancreatobiliary Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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9
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Vivori C, Papasaikas P, Stadhouders R, Di Stefano B, Rubio AR, Balaguer CB, Generoso S, Mallol A, Sardina JL, Payer B, Graf T, Valcárcel J. Dynamics of alternative splicing during somatic cell reprogramming reveals functions for RNA-binding proteins CPSF3, hnRNP UL1, and TIA1. Genome Biol 2021; 22:171. [PMID: 34082786 PMCID: PMC8173870 DOI: 10.1186/s13059-021-02372-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 05/05/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Somatic cell reprogramming is the process that allows differentiated cells to revert to a pluripotent state. In contrast to the extensively studied rewiring of epigenetic and transcriptional programs required for reprogramming, the dynamics of post-transcriptional changes and their associated regulatory mechanisms remain poorly understood. Here we study the dynamics of alternative splicing changes occurring during efficient reprogramming of mouse B cells into induced pluripotent stem (iPS) cells and compare them to those occurring during reprogramming of mouse embryonic fibroblasts. RESULTS We observe a significant overlap between alternative splicing changes detected in the two reprogramming systems, which are generally uncoupled from changes in transcriptional levels. Correlation between gene expression of potential regulators and specific clusters of alternative splicing changes enables the identification and subsequent validation of CPSF3 and hnRNP UL1 as facilitators, and TIA1 as repressor of mouse embryonic fibroblasts reprogramming. We further find that these RNA-binding proteins control partially overlapping programs of splicing regulation, involving genes relevant for developmental and morphogenetic processes. CONCLUSIONS Our results reveal common programs of splicing regulation during reprogramming of different cell types and identify three novel regulators of this process and their targets.
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Affiliation(s)
- Claudia Vivori
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: The Francis Crick Institute, 1 Midland Road, London, NW1 1AT UK
| | - Panagiotis Papasaikas
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66/Swiss Institute of Bioinformatics, 4058 Basel, Switzerland
| | - Ralph Stadhouders
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: Departments of Pulmonary Medicine and Cell Biology, Erasmus MC, Rotterdam, The Netherlands
| | - Bruno Di Stefano
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Alkek Bldg Room N1020, Houston, TX 77030 USA
| | - Anna Ribó Rubio
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Clara Berenguer Balaguer
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: Josep Carreras Leukaemia Research Institute, Carretera de Can Ruti, Camí de les Escoles, s/n, 08916 Badalona, Spain
| | - Serena Generoso
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Anna Mallol
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - José Luis Sardina
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Present address: Josep Carreras Leukaemia Research Institute, Carretera de Can Ruti, Camí de les Escoles, s/n, 08916 Badalona, Spain
| | - Bernhard Payer
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Thomas Graf
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Juan Valcárcel
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, 08010 Barcelona, Spain
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10
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Abstract
Here we review data suggestive of a role for RNA-binding proteins in vertebrate immunity. We focus on the products of genes found in the class III region of the Major Histocompatibility Complex. Six of these genes, DDX39B (aka BAT1), DXO, LSM2, NELFE, PRRC2A (aka BAT2), and SKIV2L, encode RNA-binding proteins with clear roles in post-transcriptional gene regulation and RNA surveillance. These genes are likely to have important functions in immunity and are associated with autoimmune diseases.
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Affiliation(s)
- Geraldine Schott
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA.,Biochemistry and Molecular Biology Graduate Program, University of Texas Medical Branch, Galveston, Texas, USA
| | - Mariano A Garcia-Blanco
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas, USA.,Programme in Infectious Diseases, Duke-NUS Medical School, Singapore.,Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA.,Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, Texas, USA
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11
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Thompson MG, Dittmar M, Mallory MJ, Bhat P, Ferretti MB, Fontoura BM, Cherry S, Lynch KW. Viral-induced alternative splicing of host genes promotes influenza replication. eLife 2020; 9:55500. [PMID: 33269701 PMCID: PMC7735754 DOI: 10.7554/elife.55500] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 12/02/2020] [Indexed: 12/17/2022] Open
Abstract
Viral infection induces the expression of numerous host genes that impact the outcome of infection. Here, we show that infection of human lung epithelial cells with influenza A virus (IAV) also induces a broad program of alternative splicing of host genes. Although these splicing-regulated genes are not enriched for canonical regulators of viral infection, we find that many of these genes do impact replication of IAV. Moreover, in several cases, specific inhibition of the IAV-induced splicing pattern also attenuates viral infection. We further show that approximately a quarter of the IAV-induced splicing events are regulated by hnRNP K, a host protein required for efficient splicing of the IAV M transcript in nuclear speckles. Finally, we find an increase in hnRNP K in nuclear speckles upon IAV infection, which may alter accessibility of hnRNP K for host transcripts thereby leading to a program of host splicing changes that promote IAV replication.
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Affiliation(s)
- Matthew G Thompson
- Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, United States.,Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, United States
| | - Mark Dittmar
- Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Michael J Mallory
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, United States
| | - Prasanna Bhat
- Department of Cell Biology, UT Southwestern Medical Center, Dallas, United States
| | - Max B Ferretti
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, United States.,Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Beatriz Ma Fontoura
- Department of Cell Biology, UT Southwestern Medical Center, Dallas, United States
| | - Sara Cherry
- Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, United States.,Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, United States.,Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
| | - Kristen W Lynch
- Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania, Philadelphia, United States.,Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, United States
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12
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Chatrikhi R, Mallory MJ, Gazzara MR, Agosto LM, Zhu WS, Litterman AJ, Ansel KM, Lynch KW. RNA Binding Protein CELF2 Regulates Signal-Induced Alternative Polyadenylation by Competing with Enhancers of the Polyadenylation Machinery. Cell Rep 2020; 28:2795-2806.e3. [PMID: 31509743 PMCID: PMC6752737 DOI: 10.1016/j.celrep.2019.08.022] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/28/2019] [Accepted: 08/02/2019] [Indexed: 12/22/2022] Open
Abstract
The 3′ UTR (UTR) of human mRNAs plays a critical role in controlling protein expression and function. Importantly, 3′ UTRs of human messages are not invariant for each gene but rather are shaped by alternative polyadenylation (APA) in a cell state-dependent manner, including in response to T cell activation. However, the proteins and mechanisms driving APA regulation remain poorly understood. Here we show that the RNA-binding protein CELF2 controls APA of its own message in a signal-dependent manner by competing with core enhancers of the polyadenylation machinery for binding to RNA. We further show that CELF2 binding overlaps with APA enhancers transcriptome-wide, and almost half of 3′ UTRs that undergo T cell signaling-induced APA are regulated in a CELF2-dependent manner. These studies thus reveal CELF2 to be a critical regulator of 3′ UTR identity in T cells and demonstrate an additional mechanism for CELF2 in regulating polyadenylation site choice. Alternative polyadenylation (APA) is broadly regulated during cellular activation. Chatrikhi et al. demonstrate that the RNA-binding protein CELF2 competes with CFIm25 and CstF64 for binding around polyadenylation sites. Increased expression of CELF2 upon cellular activation alters this competition and is a key driver of activation-induced APA.
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Affiliation(s)
- Rakesh Chatrikhi
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael J Mallory
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew R Gazzara
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Laura M Agosto
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Wandi S Zhu
- Department of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA
| | - Adam J Litterman
- Department of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA
| | - K Mark Ansel
- Department of Microbiology and Immunology, UC San Francisco, San Francisco, CA 94143, USA
| | - Kristen W Lynch
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Graduate Group in Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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13
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Mallory MJ, McClory SP, Chatrikhi R, Gazzara MR, Ontiveros RJ, Lynch KW. Reciprocal regulation of hnRNP C and CELF2 through translation and transcription tunes splicing activity in T cells. Nucleic Acids Res 2020; 48:5710-5719. [PMID: 32338744 PMCID: PMC7261192 DOI: 10.1093/nar/gkaa295] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/23/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022] Open
Abstract
RNA binding proteins (RBPs) frequently regulate the expression of other RBPs in mammalian cells. Such cross-regulation has been proposed to be important to control networks of coordinated gene expression; however, much remains to be understood about how such networks of cross-regulation are established and what the functional consequence is of coordinated or reciprocal expression of RBPs. Here we demonstrate that the RBPs CELF2 and hnRNP C regulate the expression of each other, such that depletion of one results in reduced expression of the other. Specifically, we show that loss of hnRNP C reduces the transcription of CELF2 mRNA, while loss of CELF2 results in decreased efficiency of hnRNP C translation. We further demonstrate that this reciprocal regulation serves to fine tune the splicing patterns of many downstream target genes. Together, this work reveals new activities of hnRNP C and CELF2, provides insight into a previously unrecognized gene regulatory network, and demonstrates how cross-regulation of RBPs functions to shape the cellular transcriptome.
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Affiliation(s)
- Michael J Mallory
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sean P McClory
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rakesh Chatrikhi
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew R Gazzara
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Robert J Ontiveros
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kristen W Lynch
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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14
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Tian XP, Su N, Wang L, Huang WJ, Liu YH, Zhang X, Huang HQ, Lin TY, Ma SY, Rao HL, Li M, Liu F, Zhang F, Zhong LY, Liang L, Lan XL, Li J, Liao B, Li ZH, Tang QL, Liang Q, Shao CK, Zhai QL, Cheng RF, Sun Q, Ru K, Gu X, Lin XN, Yi K, Shuang YR, Chen XD, Dong W, Sun C, Sang W, Liu H, Zhu ZG, Rao J, Guo QN, Zhou Y, Meng XL, Zhu Y, Hu CL, Jiang YR, Zhang Y, Gao HY, He WJ, Xia ZJ, Pan XY, Hai L, Li GW, Song LY, Kang TB, Xie D, Cai QQ. A CpG Methylation Classifier to Predict Relapse in Adults with T-Cell Lymphoblastic Lymphoma. Clin Cancer Res 2020; 26:3760-3770. [PMID: 32234760 DOI: 10.1158/1078-0432.ccr-19-4207] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 02/17/2020] [Accepted: 03/26/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE Adults with T-cell lymphoblastic lymphoma (T-LBL) generally benefit from treatment with acute lymphoblastic leukemia (ALL)-like regimens, but approximately 40% will relapse after such treatment. We evaluated the value of CpG methylation in predicting relapse for adults with T-LBL treated with ALL-like regimens. EXPERIMENTAL DESIGN A total of 549 adults with T-LBL from 27 medical centers were included in the analysis. Using the Illumina Methylation 850K Beadchip, 44 relapse-related CpGs were identified from 49 T-LBL samples by two algorithms: least absolute shrinkage and selector operation (LASSO) and support vector machine-recursive feature elimination (SVM-RFE). We built a four-CpG classifier using LASSO Cox regression based on association between the methylation level of CpGs and relapse-free survival in the training cohort (n = 160). The four-CpG classifier was validated in the internal testing cohort (n = 68) and independent validation cohort (n = 321). RESULTS The four-CpG-based classifier discriminated patients with T-LBL at high risk of relapse in the training cohort from those at low risk (P < 0.001). This classifier also showed good predictive value in the internal testing cohort (P < 0.001) and the independent validation cohort (P < 0.001). A nomogram incorporating five independent prognostic factors including the CpG-based classifier, lactate dehydrogenase levels, Eastern Cooperative Oncology Group performance status, central nervous system involvement, and NOTCH1/FBXW7 status showed a significantly higher predictive accuracy than each single variable. Stratification into different subgroups by the nomogram helped identify the subset of patients who most benefited from more intensive chemotherapy and/or sequential hematopoietic stem cell transplantation. CONCLUSIONS Our four-CpG-based classifier could predict disease relapse in patients with T-LBL, and could be used to guide treatment decision.
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Affiliation(s)
- Xiao-Peng Tian
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Ning Su
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P.R. China
| | - Wei-Juan Huang
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, P.R. China
| | - Yan-Hui Liu
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Xi Zhang
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Hui-Qiang Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Tong-Yu Lin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Shu-Yun Ma
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Hui-Lan Rao
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Fang Liu
- Department of Pathology, The First People's Hospital of Foshan, Foshan, P.R. China
| | - Fen Zhang
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Li-Ye Zhong
- Department of Hematology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Li Liang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Xiao-Liang Lan
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Juan Li
- Department of Hematology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Bing Liao
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhi-Hua Li
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong-Lan Tang
- Department of Oncology, Sun-Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong Liang
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Chun-Kui Shao
- Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qiong-Li Zhai
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Run-Fen Cheng
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Qi Sun
- Department of Pathology, Hematological Hospital of Chinese Academy of Medical Sciences, Tianjin, P.R. China
| | - Kun Ru
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P.R. China
| | - Xia Gu
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China
| | - Xi-Na Lin
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China
| | - Kun Yi
- Department of Oncology, Jiangxi Provincial Cancer Hospital, Nanchang, P.R. China
| | - Yue-Rong Shuang
- Department of Hematology, Jiangxi Provincial Cancer Hospital, Nanchang, P.R. China
| | - Xiao-Dong Chen
- Department of Pathology, General Hospital of Guangzhou Military Command of PLA, Guangzhou, P.R. China
| | - Wei Dong
- Department of Hematology, Shunde Hospital of Southern Medical University, Shunde, P.R. China
| | - Cai Sun
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Wei Sang
- Department of Hematology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Hui Liu
- Department of Pathology, The First Affiliated Hospital of Xuzhou Medical University, Xuzhou, P.R. China
| | - Zhi-Gang Zhu
- Department of Hematology and Oncology, Guangzhou First People's Hospital, Guangzhou, P.R. China
| | - Jun Rao
- Department of Hematology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Qiao-Nan Guo
- Department of Pathology, Xinqiao Hospital, Third Military Medical University, Chongqing, P.R. China
| | - Ying Zhou
- Department of Medical Oncology, Jiangmen Central Hospital, Jiangmen, P.R. China
| | - Xiang-Ling Meng
- Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Yong Zhu
- Department of Gastrointestinal Surgery, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, P.R. China
| | - Chang-Lu Hu
- Department of Medical? Oncology, Anhui Provincial Cancer Hospital, Hefei, P.R. China
| | - Yi-Rong Jiang
- Department of Hematology, The First People's Hospital of Dongguan, Dongguan, P.R. China
| | - Ying Zhang
- Department of Oncology, Affiliated Hospital of Guangdong Medical University, Guangzhou, P.R. China
| | - Hong-Yi Gao
- Department of Pathology, Guangdong Province Hospital for Women and Children Health Care, Guangzhou, P.R. China
| | - Wen-Jun He
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhong-Jun Xia
- Department of Hematology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Xue-Yi Pan
- Department of Hematology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, P.R. China
| | - Lan Hai
- Department of Hematology, Shunde Affiliated Hospital of Guangzhou University of Chinese Medicine, Foshan, P.R. China
| | - Guo-Wei Li
- Department of Hematology, Huizhou Municipal Central Hospital, Huizhou, P.R. China
| | - Li-Yan Song
- Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, P.R. China
| | - Tie-Bang Kang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Dan Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China
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15
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Sznajder ŁJ, Scotti MM, Shin J, Taylor K, Ivankovic F, Nutter CA, Aslam FN, Subramony SH, Ranum LPW, Swanson MS. Loss of MBNL1 induces RNA misprocessing in the thymus and peripheral blood. Nat Commun 2020; 11:2022. [PMID: 32332745 PMCID: PMC7181699 DOI: 10.1038/s41467-020-15962-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 04/03/2020] [Indexed: 12/25/2022] Open
Abstract
The thymus is a primary lymphoid organ that plays an essential role in T lymphocyte maturation and selection during development of one arm of the mammalian adaptive immune response. Although transcriptional mechanisms have been well documented in thymocyte development, co-/post-transcriptional modifications are also important but have received less attention. Here we demonstrate that the RNA alternative splicing factor MBNL1, which is sequestered in nuclear RNA foci by C(C)UG microsatellite expansions in myotonic dystrophy (DM), is essential for normal thymus development and function. Mbnl1 129S1 knockout mice develop postnatal thymic hyperplasia with thymocyte accumulation. Transcriptome analysis indicates numerous gene expression and RNA mis-splicing events, including transcription factors from the TCF/LEF family. CNBP, the gene containing an intronic CCTG microsatellite expansion in DM type 2 (DM2), is coordinately expressed with MBNL1 in the developing thymus and DM2 CCTG expansions induce similar transcriptome alterations in DM2 blood, which thus serve as disease-specific biomarkers.
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Affiliation(s)
- Łukasz J Sznajder
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA.
| | - Marina M Scotti
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Jihae Shin
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA.,Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School and Rutgers Cancer Institute of New Jersey, Newark, NJ, 07103, USA
| | - Katarzyna Taylor
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA.,Laboratory of Gene Therapy, Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznań, Poland
| | - Franjo Ivankovic
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Curtis A Nutter
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Faaiq N Aslam
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - S H Subramony
- Department of Neurology, Center for NeuroGenetics, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Laura P W Ranum
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA
| | - Maurice S Swanson
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics and the Genetics Institute, University of Florida, College of Medicine, Gainesville, FL, 32610, USA.
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16
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Agosto LM, Gazzara MR, Radens CM, Sidoli S, Baeza J, Garcia BA, Lynch KW. Deep profiling and custom databases improve detection of proteoforms generated by alternative splicing. Genome Res 2019; 29:2046-2055. [PMID: 31727681 PMCID: PMC6886501 DOI: 10.1101/gr.248435.119] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 09/16/2019] [Indexed: 02/05/2023]
Abstract
Alternative pre-mRNA splicing has long been proposed to contribute greatly to proteome complexity. However, the extent to which mature mRNA isoforms are successfully translated into protein remains controversial. Here, we used high-throughput RNA sequencing and mass spectrometry (MS)–based proteomics to better evaluate the translation of alternatively spliced mRNAs. To increase proteome coverage and improve protein quantitation, we optimized cell fractionation and sample processing steps at both the protein and peptide level. Furthermore, we generated a custom peptide database trained on analysis of RNA-seq data with MAJIQ, an algorithm optimized to detect and quantify differential and unannotated splice junction usage. We matched tandem mass spectra acquired by data-dependent acquisition (DDA) against our custom RNA-seq based database, as well as SWISS-PROT and RefSeq databases to improve identification of splicing-derived proteoforms by 28% compared with use of the SWISS-PROT database alone. Altogether, we identified peptide evidence for 554 alternate proteoforms corresponding to 274 genes. Our increased depth and detection of proteins also allowed us to track changes in the transcriptome and proteome induced by T-cell stimulation, as well as fluctuations in protein subcellular localization. In sum, our data here confirm that use of generic databases in proteomic studies underestimates the number of spliced mRNA isoforms that are translated into protein and provides a workflow that improves isoform detection in large-scale proteomic experiments.
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Affiliation(s)
- Laura M Agosto
- Biochemistry and Molecular Biophysics Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Matthew R Gazzara
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Caleb M Radens
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Genetics and Epigenetics, Cell & Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Simone Sidoli
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Josue Baeza
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Benjamin A Garcia
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.,Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Kristen W Lynch
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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17
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Zhao L, Wang C, Lehman ML, He M, An J, Svingen T, Spiller CM, Ng ET, Nelson CC, Koopman P. Transcriptomic analysis of mRNA expression and alternative splicing during mouse sex determination. Mol Cell Endocrinol 2018; 478:84-96. [PMID: 30053582 DOI: 10.1016/j.mce.2018.07.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 07/23/2018] [Accepted: 07/23/2018] [Indexed: 12/15/2022]
Abstract
Mammalian sex determination hinges on sexually dimorphic transcriptional programs in developing fetal gonads. A comprehensive view of these programs is crucial for understanding the normal development of fetal testes and ovaries and the etiology of human disorders of sex development (DSDs), many of which remain unexplained. Using strand-specific RNA-sequencing, we characterized the mouse fetal gonadal transcriptome from 10.5 to 13.5 days post coitum, a key time window in sex determination and gonad development. Our dataset benefits from a greater sensitivity, accuracy and dynamic range compared to microarray studies, allows global dynamics and sex-specificity of gene expression to be assessed, and provides a window to non-transcriptional events such as alternative splicing. Spliceomic analysis uncovered female-specific regulation of Lef1 splicing, which may contribute to the enhanced WNT signaling activity in XX gonads. We provide a user-friendly visualization tool for the complete transcriptomic and spliceomic dataset as a resource for the field.
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Affiliation(s)
- Liang Zhao
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Chenwei Wang
- Australian Prostate Cancer Research Centre - Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, Queensland, 4102, Australia
| | - Melanie L Lehman
- Australian Prostate Cancer Research Centre - Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, Queensland, 4102, Australia
| | - Mingyu He
- Longsoft, Brisbane, Queensland, 4109, Australia
| | - Jiyuan An
- Australian Prostate Cancer Research Centre - Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, Queensland, 4102, Australia
| | - Terje Svingen
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Cassy M Spiller
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Ee Ting Ng
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Colleen C Nelson
- Australian Prostate Cancer Research Centre - Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, Queensland, 4102, Australia
| | - Peter Koopman
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
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18
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RNA-binding proteins control gene expression and cell fate in the immune system. Nat Immunol 2018; 19:120-129. [PMID: 29348497 DOI: 10.1038/s41590-017-0028-4] [Citation(s) in RCA: 122] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 11/29/2017] [Indexed: 12/19/2022]
Abstract
RNA-binding proteins (RBPs) are essential for the development and function of the immune system. They interact dynamically with RNA to control its biogenesis and turnover by transcription-dependent and transcription-independent mechanisms. In this Review, we discuss the molecular mechanisms by which RBPs allow gene expression changes to occur at different speeds and to varying degrees, and which RBPs regulate the diversity of the transcriptome and proteome. These proteins are nodes for integration of transcriptional and signaling networks and are intimately linked to intermediary metabolism. They are essential components of regulatory feedback mechanisms that maintain immune tolerance and limit inflammation. The role of RBPs in malignancy and autoimmunity has led to their emergence as targets for the development of new therapeutic modalities.
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19
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Gazzara MR, Mallory MJ, Roytenberg R, Lindberg JP, Jha A, Lynch KW, Barash Y. Ancient antagonism between CELF and RBFOX families tunes mRNA splicing outcomes. Genome Res 2017; 27:1360-1370. [PMID: 28512194 PMCID: PMC5538552 DOI: 10.1101/gr.220517.117] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 05/08/2017] [Indexed: 12/11/2022]
Abstract
Over 95% of human multi-exon genes undergo alternative splicing, a process important in normal development and often dysregulated in disease. We sought to analyze the global splicing regulatory network of CELF2 in human T cells, a well-studied splicing regulator critical to T cell development and function. By integrating high-throughput sequencing data for binding and splicing quantification with sequence features and probabilistic splicing code models, we find evidence of splicing antagonism between CELF2 and the RBFOX family of splicing factors. We validate this functional antagonism through knockdown and overexpression experiments in human cells and find CELF2 represses RBFOX2 mRNA and protein levels. Because both families of proteins have been implicated in the development and maintenance of neuronal, muscle, and heart tissues, we analyzed publicly available data in these systems. Our analysis suggests global, antagonistic coregulation of splicing by the CELF and RBFOX proteins in mouse muscle and heart in several physiologically relevant targets, including proteins involved in calcium signaling and members of the MEF2 family of transcription factors. Importantly, a number of these coregulated events are aberrantly spliced in mouse models and human patients with diseases that affect these tissues, including heart failure, diabetes, or myotonic dystrophy. Finally, analysis of exons regulated by ancient CELF family homologs in chicken, Drosophila, and Caenorhabditis elegans suggests this antagonism is conserved throughout evolution.
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Affiliation(s)
- Matthew R Gazzara
- Department of Genetics.,Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Michael J Mallory
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Renat Roytenberg
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - John P Lindberg
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Anupama Jha
- Department of Computer and Information Science, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Kristen W Lynch
- Department of Genetics.,Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Yoseph Barash
- Department of Genetics.,Department of Computer and Information Science, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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20
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Visualizing the life of mRNA in T cells. Biochem Soc Trans 2017; 45:563-570. [PMID: 28408496 DOI: 10.1042/bst20170003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 12/15/2022]
Abstract
T cells release ample amounts of cytokines during infection. This property is critical to prevent pathogen spreading and persistence. Nevertheless, whereas rapid and ample cytokine production supports the clearance of pathogens, the production must be restricted in time and location to prevent detrimental effects of chronic inflammation and immunopathology. Transcriptional and post-transcriptional processes determine the levels of cytokine production. How these regulatory mechanisms are interconnected, and how they regulate the magnitude of protein production in primary T cells is to date not well studied. Here, we highlight recent advances in the field that boost our understanding of the regulatory processes of cytokine production of T cells, with a focus on transcription, mRNA stability, localization and translation.
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21
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Gallego-Paez LM, Bordone MC, Leote AC, Saraiva-Agostinho N, Ascensão-Ferreira M, Barbosa-Morais NL. Alternative splicing: the pledge, the turn, and the prestige : The key role of alternative splicing in human biological systems. Hum Genet 2017; 136:1015-1042. [PMID: 28374191 PMCID: PMC5602094 DOI: 10.1007/s00439-017-1790-y] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 03/25/2017] [Indexed: 02/06/2023]
Abstract
Alternative pre-mRNA splicing is a tightly controlled process conducted by the spliceosome, with the assistance of several regulators, resulting in the expression of different transcript isoforms from the same gene and increasing both transcriptome and proteome complexity. The differences between alternative isoforms may be subtle but enough to change the function or localization of the translated proteins. A fine control of the isoform balance is, therefore, needed throughout developmental stages and adult tissues or physiological conditions and it does not come as a surprise that several diseases are caused by its deregulation. In this review, we aim to bring the splicing machinery on stage and raise the curtain on its mechanisms and regulation throughout several systems and tissues of the human body, from neurodevelopment to the interactions with the human microbiome. We discuss, on one hand, the essential role of alternative splicing in assuring tissue function, diversity, and swiftness of response in these systems or tissues, and on the other hand, what goes wrong when its regulatory mechanisms fail. We also focus on the possibilities that splicing modulation therapies open for the future of personalized medicine, along with the leading techniques in this field. The final act of the spliceosome, however, is yet to be fully revealed, as more knowledge is needed regarding the complex regulatory network that coordinates alternative splicing and how its dysfunction leads to disease.
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Affiliation(s)
- L M Gallego-Paez
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - M C Bordone
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - A C Leote
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - N Saraiva-Agostinho
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - M Ascensão-Ferreira
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - N L Barbosa-Morais
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
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22
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Activation-Dependent TRAF3 Exon 8 Alternative Splicing Is Controlled by CELF2 and hnRNP C Binding to an Upstream Intronic Element. Mol Cell Biol 2017; 37:MCB.00488-16. [PMID: 28031331 DOI: 10.1128/mcb.00488-16] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Accepted: 12/20/2016] [Indexed: 12/18/2022] Open
Abstract
Cell-type-specific and inducible alternative splicing has a fundamental impact on regulating gene expression and cellular function in a variety of settings, including activation and differentiation. We have recently shown that activation-induced skipping of TRAF3 exon 8 activates noncanonical NF-κB signaling upon T cell stimulation, but the regulatory basis for this splicing event remains unknown. Here we identify cis- and trans-regulatory elements rendering this splicing switch activation dependent and cell type specific. The cis-acting element is located 340 to 440 nucleotides upstream of the regulated exon and acts in a distance-dependent manner, since altering the location reduces its activity. A small interfering RNA screen, followed by cross-link immunoprecipitation and mutational analyses, identified CELF2 and hnRNP C as trans-acting factors that directly bind the regulatory sequence and together mediate increased exon skipping in activated T cells. CELF2 expression levels correlate with TRAF3 exon skipping in several model systems, suggesting that CELF2 is the decisive factor, with hnRNP C being necessary but not sufficient. These data suggest an interplay between CELF2 and hnRNP C as the mechanistic basis for activation-dependent alternative splicing of TRAF3 exon 8 and additional exons and uncover an intronic splicing silencer whose full activity depends on the precise location more than 300 nucleotides upstream of the regulated exon.
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23
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Chen L, Liu Z, Zhou B, Wei C, Zhou Y, Rosenfeld MG, Fu XD, Chisholm AD, Jin Y. CELF RNA binding proteins promote axon regeneration in C. elegans and mammals through alternative splicing of Syntaxins. eLife 2016; 5. [PMID: 27253061 PMCID: PMC4946901 DOI: 10.7554/elife.16072] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 06/01/2016] [Indexed: 01/08/2023] Open
Abstract
Axon injury triggers dramatic changes in gene expression. While transcriptional regulation of injury-induced gene expression is widely studied, less is known about the roles of RNA binding proteins (RBPs) in post-transcriptional regulation during axon regeneration. In C. elegans the CELF (CUGBP and Etr-3 Like Factor) family RBP UNC-75 is required for axon regeneration. Using crosslinking immunoprecipitation coupled with deep sequencing (CLIP-seq) we identify a set of genes involved in synaptic transmission as mRNA targets of UNC-75. In particular, we show that UNC-75 regulates alternative splicing of two mRNA isoforms of the SNARE Syntaxin/unc-64. In C. elegans mutants lacking unc-75 or its targets, regenerating axons form growth cones, yet are deficient in extension. Extending these findings to mammalian axon regeneration, we show that mouse Celf2 expression is upregulated after peripheral nerve injury and that Celf2 mutant mice are defective in axon regeneration. Further, mRNAs for several Syntaxins show CELF2 dependent regulation. Our data delineate a post-transcriptional regulatory pathway with a conserved role in regenerative axon extension. DOI:http://dx.doi.org/10.7554/eLife.16072.001 Nerve cells or neurons carry information around the body along projections known as axons. An injury or trauma, such as a stroke, can damage the axons and lead to permanent disability because the damaged axons fail to regenerate over long distances. Axon damage triggers large changes in the activity of many genes that promote regeneration. When a gene is active, its DNA is copied to make molecules of messenger RNA (mRNA), which are then used as templates to make proteins. Many mRNAs undergo a process called alternative splicing, in which different combinations of mRNA sections may be removed from the final molecule. This enables a single gene to produce more than one type of protein. Recent studies point to an important role for so-called RNA binding proteins in regulating the alternative splicing process. An RNA binding protein called UNC-75 in a worm known as Caenorhabditis elegans has previously been shown to be involved in axon regeneration, but it was not clear how UNC-75 acts on neurons. Here, Chen et al. combined a technique called CLIP-seq (Cross-linking ImmunoPrecipitation-deep sequencing) with genetic testing to identify the mRNAs that UNC-75 regulates during axon regeneration. The experiments found a set of C. elegans genes required for information to pass between neurons whose mRNAs are also targeted by UNC-75. Many of these genes are also required for axon regeneration. Chen et al. studied one of the mRNA targets – which encodes a protein called syntaxin – in more detail and found that the syntaxin mRNA is required for regenerating axons over long distances. UNC-75 alternatively splices this mRNA to produce a particular form of syntaxin that is mainly found in neurons. Mutant worms that lack either UNC-75 or syntaxin are unable to properly regenerate axons over long distances. Further experiments show that a mouse protein known as CELF2 that is equivalent to worm UNC-75 plays a similar role in regenerating axons. Moreover, mouse CELF2 restores the ability of worm neurons that lack UNC-75 to regenerate. Like worm UNC-75, the mouse protein is also involved in alternative splicing of syntaxin. The next step is to examine the other mRNA targets of UNC-75 to find out what role they play in axon regeneration and other processes in neurons. DOI:http://dx.doi.org/10.7554/eLife.16072.002
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Affiliation(s)
- Lizhen Chen
- Section of Neurobiology, University of California, San Diego, Division of Biological Sciences, San Diego, United States.,Howard Hughes Medical Institute, University of California, San Diego, United States
| | - Zhijie Liu
- Department of Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Bing Zhou
- Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Chaoliang Wei
- Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Yu Zhou
- Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Michael G Rosenfeld
- Howard Hughes Medical Institute, University of California, San Diego, United States.,Department of Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Xiang-Dong Fu
- Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, San Diego, United States
| | - Andrew D Chisholm
- Section of Neurobiology, University of California, San Diego, Division of Biological Sciences, San Diego, United States
| | - Yishi Jin
- Section of Neurobiology, University of California, San Diego, Division of Biological Sciences, San Diego, United States.,Howard Hughes Medical Institute, University of California, San Diego, United States.,Department of Cellular and Molecular Medicine, University of California, San Diego, School of Medicine, San Diego, United States
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24
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Ganguly K, Giddaluru J, August A, Khan N. Post-transcriptional Regulation of Immunological Responses through Riboclustering. Front Immunol 2016; 7:161. [PMID: 27199986 PMCID: PMC4850162 DOI: 10.3389/fimmu.2016.00161] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Accepted: 04/15/2016] [Indexed: 12/22/2022] Open
Abstract
Immunological programing of immune cells varies in response to changing environmental signals. This process is facilitated by modifiers that regulate the translational fate of mRNAs encoding various immune mediators, including cytokines and chemokines, which in turn determine the rapid activation, tolerance, and plasticity of the immune system. RNA-binding proteins (RBPs) recruited by the specific sequence elements in mRNA transcripts are one such modifiers. These RBPs form RBP-RNA complexes known as "riboclusters." These riboclusters serve as RNA sorting machinery, where depending upon the composition of the ribocluster, translation, degradation, or storage of mRNA is controlled. Recent findings suggest that this regulation of mRNA homeostasis is critical for controlling the immune response. Here, we present the current knowledge of the ribocluster-mediated post-transcriptional regulation of immune mediators and highlight recent findings regarding their implications for the pathogenesis of acute or chronic inflammatory diseases.
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Affiliation(s)
- Koelina Ganguly
- Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad , Hyderabad , India
| | - Jeevan Giddaluru
- Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad , Hyderabad , India
| | - Avery August
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University , New York, NY , USA
| | - Nooruddin Khan
- Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad , Hyderabad , India
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25
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Ajith S, Gazzara MR, Cole BS, Shankarling G, Martinez NM, Mallory MJ, Lynch KW. Position-dependent activity of CELF2 in the regulation of splicing and implications for signal-responsive regulation in T cells. RNA Biol 2016; 13:569-81. [PMID: 27096301 PMCID: PMC4962813 DOI: 10.1080/15476286.2016.1176663] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
CELF2 is an RNA binding protein that has been implicated in developmental and signal-dependent splicing in the heart, brain and T cells. In the heart, CELF2 expression decreases during development, while in T cells CELF2 expression increases both during development and in response to antigen-induced signaling events. Although hundreds of CELF2-responsive splicing events have been identified in both heart and T cells, the way in which CELF2 functions has not been broadly investigated. Here we use CLIP-Seq to identified physical targets of CELF2 in a cultured human T cell line. By comparing the results with known functional targets of CELF2 splicing regulation from the same cell line we demonstrate a generalizable position-dependence of CELF2 activity that is consistent with previous mechanistic studies of individual CELF2 target genes in heart and brain. Strikingly, this general position-dependence is sufficient to explain the bi-directional activity of CELF2 on 2 T cell targets recently reported. Therefore, we propose that the location of CELF2 binding around an exon is a primary predictor of CELF2 function in a broad range of cellular contexts.
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Affiliation(s)
- Sandya Ajith
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Matthew R Gazzara
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Brian S Cole
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Ganesh Shankarling
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Nicole M Martinez
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Michael J Mallory
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
| | - Kristen W Lynch
- a Department of Biochemistry and Biophysics , University of Pennsylvania Perelman School of Medicine , Philadelphia , PA , USA
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26
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Widespread JNK-dependent alternative splicing induces a positive feedback loop through CELF2-mediated regulation of MKK7 during T-cell activation. Genes Dev 2016; 29:2054-66. [PMID: 26443849 PMCID: PMC4604346 DOI: 10.1101/gad.267245.115] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In this study, Martinez et al. find a positive feedback loop in the JNK signaling pathway through the alternative splicing of MKK7, identify the RNA-binding protein CELF2 as a major regulator of MKK7 splicing, and show that ∼25% of T-cell receptor-mediated alternative splicing events are dependent on JNK signaling. This study provides insight into a novel paradigm for the reciprocal interplay of signaling and splicing. Alternative splicing is prevalent among genes encoding signaling molecules; however, the functional consequence of differential isoform expression remains largely unknown. Here we demonstrate that, in response to T-cell activation, the Jun kinase (JNK) kinase MAP kinase kinase 7 (MKK7) is alternatively spliced to favor an isoform that lacks exon 2. This isoform restores a JNK-docking site within MKK7 that is disrupted in the larger isoform. Consistently, we show that skipping of MKK7 exon 2 enhances JNK pathway activity, as indicated by c-Jun phosphorylation and up-regulation of TNF-α. Moreover, this splicing event is itself dependent on JNK signaling. Thus, MKK7 alternative splicing represents a positive feedback loop through which JNK promotes its own signaling. We further show that repression of MKK7 exon 2 is dependent on the presence of flanking sequences and the JNK-induced expression of the RNA-binding protein CELF2, which binds to these regulatory elements. Finally, we found that ∼25% of T-cell receptor-mediated alternative splicing events are dependent on JNK signaling. Strikingly, these JNK-dependent events are also significantly enriched for responsiveness to CELF2. Together, our data demonstrate a widespread role for the JNK–CELF2 axis in controlling splicing during T-cell activation, including a specific role in propagating JNK signaling.
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27
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The Role of Alternative Splicing in the Control of Immune Homeostasis and Cellular Differentiation. Int J Mol Sci 2015; 17:ijms17010003. [PMID: 26703587 PMCID: PMC4730250 DOI: 10.3390/ijms17010003] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Revised: 12/11/2015] [Accepted: 12/15/2015] [Indexed: 12/21/2022] Open
Abstract
Alternative splicing of pre-mRNA helps to enhance the genetic diversity within mammalian cells by increasing the number of protein isoforms that can be generated from one gene product. This provides a great deal of flexibility to the host cell to alter protein function, but when dysregulation in splicing occurs this can have important impact on health and disease. Alternative splicing is widely used in the mammalian immune system to control the development and function of antigen specific lymphocytes. In this review we will examine the splicing of pre-mRNAs yielding key proteins in the immune system that regulate apoptosis, lymphocyte differentiation, activation and homeostasis, and discuss how defects in splicing can contribute to diseases. We will describe how disruption to trans-acting factors, such as heterogeneous nuclear ribonucleoproteins (hnRNPs), can impact on cell survival and differentiation in the immune system.
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28
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Sotillo E, Barrett DM, Black KL, Bagashev A, Oldridge D, Wu G, Sussman R, Lanauze C, Ruella M, Gazzara MR, Martinez NM, Harrington CT, Chung EY, Perazzelli J, Hofmann TJ, Maude SL, Raman P, Barrera A, Gill S, Lacey SF, Melenhorst JJ, Allman D, Jacoby E, Fry T, Mackall C, Barash Y, Lynch KW, Maris JM, Grupp SA, Thomas-Tikhonenko A. Convergence of Acquired Mutations and Alternative Splicing of CD19 Enables Resistance to CART-19 Immunotherapy. Cancer Discov 2015; 5:1282-95. [PMID: 26516065 DOI: 10.1158/2159-8290.cd-15-1020] [Citation(s) in RCA: 891] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 10/01/2015] [Indexed: 01/20/2023]
Abstract
UNLABELLED The CD19 antigen, expressed on most B-cell acute lymphoblastic leukemias (B-ALL), can be targeted with chimeric antigen receptor-armed T cells (CART-19), but relapses with epitope loss occur in 10% to 20% of pediatric responders. We detected hemizygous deletions spanning the CD19 locus and de novo frameshift and missense mutations in exon 2 of CD19 in some relapse samples. However, we also discovered alternatively spliced CD19 mRNA species, including one lacking exon 2. Pull-down/siRNA experiments identified SRSF3 as a splicing factor involved in exon 2 retention, and its levels were lower in relapsed B-ALL. Using genome editing, we demonstrated that exon 2 skipping bypasses exon 2 mutations in B-ALL cells and allows expression of the N-terminally truncated CD19 variant, which fails to trigger killing by CART-19 but partly rescues defects associated with CD19 loss. Thus, this mechanism of resistance is based on a combination of deleterious mutations and ensuing selection for alternatively spliced RNA isoforms. SIGNIFICANCE CART-19 yield 70% response rates in patients with B-ALL, but also produce escape variants. We discovered that the underlying mechanism is the selection for preexisting alternatively spliced CD19 isoforms with the compromised CART-19 epitope. This mechanism suggests a possibility of targeting alternative CD19 ectodomains, which could improve survival of patients with B-cell neoplasms.
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Affiliation(s)
- Elena Sotillo
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - David M Barrett
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kathryn L Black
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Asen Bagashev
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Derek Oldridge
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Glendon Wu
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Robyn Sussman
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Claudia Lanauze
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Cell & Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Marco Ruella
- Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Matthew R Gazzara
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Department of Biochemistry & Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Nicole M Martinez
- Department of Biochemistry & Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Colleen T Harrington
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Cell & Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Elaine Y Chung
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jessica Perazzelli
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Ted J Hofmann
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Shannon L Maude
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Pichai Raman
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Alejandro Barrera
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Saar Gill
- Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Simon F Lacey
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jan J Melenhorst
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Allman
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Elad Jacoby
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - Terry Fry
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - Crystal Mackall
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland
| | - Yoseph Barash
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kristen W Lynch
- Department of Biochemistry & Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - John M Maris
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Stephan A Grupp
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Andrei Thomas-Tikhonenko
- Division of Cancer Pathobiology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania. Immunology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Cell & Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
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29
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Kataoka K, Nagata Y, Kitanaka A, Shiraishi Y, Shimamura T, Yasunaga JI, Totoki Y, Chiba K, Sato-Otsubo A, Nagae G, Ishii R, Muto S, Kotani S, Watatani Y, Takeda J, Sanada M, Tanaka H, Suzuki H, Sato Y, Shiozawa Y, Yoshizato T, Yoshida K, Makishima H, Iwanaga M, Ma G, Nosaka K, Hishizawa M, Itonaga H, Imaizumi Y, Munakata W, Ogasawara H, Sato T, Sasai K, Muramoto K, Penova M, Kawaguchi T, Nakamura H, Hama N, Shide K, Kubuki Y, Hidaka T, Kameda T, Nakamaki T, Ishiyama K, Miyawaki S, Yoon SS, Tobinai K, Miyazaki Y, Takaori-Kondo A, Matsuda F, Takeuchi K, Nureki O, Aburatani H, Watanabe T, Shibata T, Matsuoka M, Miyano S, Shimoda K, Ogawa S. Integrated molecular analysis of adult T cell leukemia/lymphoma. Nat Genet 2015; 47:1304-15. [PMID: 26437031 DOI: 10.1038/ng.3415] [Citation(s) in RCA: 577] [Impact Index Per Article: 64.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 09/09/2015] [Indexed: 12/11/2022]
Abstract
Adult T cell leukemia/lymphoma (ATL) is a peripheral T cell neoplasm of largely unknown genetic basis, associated with human T cell leukemia virus type-1 (HTLV-1) infection. Here we describe an integrated molecular study in which we performed whole-genome, exome, transcriptome and targeted resequencing, as well as array-based copy number and methylation analyses, in a total of 426 ATL cases. The identified alterations overlap significantly with the HTLV-1 Tax interactome and are highly enriched for T cell receptor-NF-κB signaling, T cell trafficking and other T cell-related pathways as well as immunosurveillance. Other notable features include a predominance of activating mutations (in PLCG1, PRKCB, CARD11, VAV1, IRF4, FYN, CCR4 and CCR7) and gene fusions (CTLA4-CD28 and ICOS-CD28). We also discovered frequent intragenic deletions involving IKZF2, CARD11 and TP73 and mutations in GATA3, HNRNPA2B1, GPR183, CSNK2A1, CSNK2B and CSNK1A1. Our findings not only provide unique insights into key molecules in T cell signaling but will also guide the development of new diagnostics and therapeutics in this intractable tumor.
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Affiliation(s)
- Keisuke Kataoka
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasunobu Nagata
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Akira Kitanaka
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yuichi Shiraishi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Teppei Shimamura
- Division of Systems Biology, Center for Neurological Disease and Cancer, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Jun-Ichirou Yasunaga
- Laboratory of Virus Control, Institute for Virus Research, Kyoto University, Kyoto, Japan
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Kenichi Chiba
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Aiko Sato-Otsubo
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Genta Nagae
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Ryohei Ishii
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Satsuki Muto
- Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Shinichi Kotani
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yosaku Watatani
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - June Takeda
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masashi Sanada
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Department of Advanced Diagnosis, Clinical Research Center, Nagoya Medical Center, Nagoya, Japan
| | - Hiroko Tanaka
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hiromichi Suzuki
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Sato
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Shiozawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tetsuichi Yoshizato
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichi Yoshida
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideki Makishima
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masako Iwanaga
- Department of Frontier Life Science, Nagasaki University Graduate School of Biomedical Science, Nagasaki, Japan
| | - Guangyong Ma
- Laboratory of Virus Control, Institute for Virus Research, Kyoto University, Kyoto, Japan
| | - Kisato Nosaka
- Department of Hematology, Kumamoto University School of Medicine, Kumamoto, Japan
| | - Masakatsu Hishizawa
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidehiro Itonaga
- Department of Hematology, Sasebo City General Hospital, Sasebo, Japan
| | - Yoshitaka Imaizumi
- Department of Hematology, Atomic Bomb Disease and Hibakusya Medicine Unit, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Wataru Munakata
- Department of Hematology, National Cancer Center Hospital, Tokyo, Japan
| | | | | | - Ken Sasai
- KAN Research Institute, Inc., Kobe, Japan
| | | | - Marina Penova
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Natsuko Hama
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Kotaro Shide
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Yoko Kubuki
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Tomonori Hidaka
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Takuro Kameda
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Tsuyoshi Nakamaki
- Division of Hematology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Ken Ishiyama
- Department of Hematology and Oncology, Kanazawa University Hospital, Kanazawa, Japan
| | - Shuichi Miyawaki
- Division of Hematology, Department of Internal Medicine, Tokyo Metropolitan Ohtsuka Hospital, Tokyo, Japan
| | - Sung-Soo Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kensei Tobinai
- Department of Hematology, National Cancer Center Hospital, Tokyo, Japan
| | - Yasushi Miyazaki
- Department of Hematology, Atomic Bomb Disease and Hibakusya Medicine Unit, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan
| | - Akifumi Takaori-Kondo
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kengo Takeuchi
- Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Osamu Nureki
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Aburatani
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Toshiki Watanabe
- Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.,Laboratory of Molecular Medicine, Human Genome Center, The institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Masao Matsuoka
- Laboratory of Virus Control, Institute for Virus Research, Kyoto University, Kyoto, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuya Shimoda
- Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Hernández-Munain C. Recent insights into the transcriptional control of the Tcra/Tcrd locus by distant enhancers during the development of T-lymphocytes. Transcription 2015; 6:65-73. [PMID: 26230488 DOI: 10.1080/21541264.2015.1078429] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Tcra/Tcrd includes 2 genes with distinct developmental programs controlled by 2 distant enhancers, Eα and Eδ. These enhancers work as a developmental switch during thymocyte development and they are essential for generation of αβ and γδ T-lymphocytes. Tcra and Tcrd transit from an unrearranged configuration to a rearranged configuration during T-cell development. Eα and Eδ are responsible for transcription of their respective unrearranged genes in thymocytes but are dispensable for such functions in the context of the rearranged genes in mature T-cells. Interestingly, Eα activates transcription of the rearranged Tcrd in γδ T-lymphocytes but it is inactive in αβ T-lymphocytes.
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Affiliation(s)
- Cristina Hernández-Munain
- a Department of Cellular Biology and Immunology ; Instituto de Parasitología y Biomedicina López-Neyra (IPBLN-CSIC); Parque Tecnológico de Ciencias de la Salud (PTS) ; Armilla , Granada , Spain
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31
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Induced transcription and stability of CELF2 mRNA drives widespread alternative splicing during T-cell signaling. Proc Natl Acad Sci U S A 2015; 112:E2139-48. [PMID: 25870297 DOI: 10.1073/pnas.1423695112] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Studies in several cell types have highlighted dramatic and diverse changes in mRNA processing that occur upon cellular stimulation. However, the mechanisms and pathways that lead to regulated changes in mRNA processing remain poorly understood. Here we demonstrate that expression of the splicing factor CELF2 (CUGBP, Elav-like family member 2) is regulated in response to T-cell signaling through combined increases in transcription and mRNA stability. Transcriptional induction occurs within 6 h of stimulation and is dependent on activation of NF-κB. Subsequently, there is an increase in the stability of the CELF2 mRNA that correlates with a change in CELF2 3'UTR length and contributes to the total signal-induced enhancement of CELF2 expression. Importantly, we uncover dozens of splicing events in cultured T cells whose changes upon stimulation are dependent on CELF2 expression, and provide evidence that CELF2 controls a similar proportion of splicing events during human thymic T-cell development. Taken together, these findings expand the physiologic impact of CELF2 beyond that previously documented in developing neuronal and muscle cells to T-cell development and function, identify unappreciated instances of alternative splicing in the human thymus, and uncover novel mechanisms for CELF2 regulation that may broadly impact CELF2 expression across diverse cell types.
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32
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Abstract
The Tcra enhancer (Eα) is essential for Tcra locus germ-line transcription and primary Vα-to-Jα recombination during thymocyte development. We found that Eα is inhibited late during thymocyte differentiation and in αβ T lymphocytes, indicating that it is not required to drive transcription of rearranged Tcra genes. Eα inactivation resulted in the disruption of functional long-range enhancer-promoter interactions and was associated with loss of Eα-dependent histone modifications at promoter and enhancer regions, and reduced expression and recruitment of E2A to the Eα enhanceosome in T cells. Enhancer activity could not be recovered by T-cell activation, by forced expression of E2A or by the up-regulation of this and other transcription factors in the context of T helper differentiation. Our results argue that the major function of Eα is to coordinate the formation of a chromatin hub that drives Vα and Jα germ-line transcription and primary rearrangements in thymocytes and imply the existence of an Eα-independent mechanism to activate transcription of the rearranged Tcra locus in αβ T cells.
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33
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Kafasla P, Skliris A, Kontoyiannis DL. Post-transcriptional coordination of immunological responses by RNA-binding proteins. Nat Immunol 2014; 15:492-502. [PMID: 24840980 DOI: 10.1038/ni.2884] [Citation(s) in RCA: 141] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Accepted: 04/01/2014] [Indexed: 12/22/2022]
Abstract
Immunological reactions are propelled by ever-changing signals that alter the translational ability of the RNA in the cells involved. Such alterations are considered to be consequential modifications in the transcriptomic decoding of the genetic blueprint. The identification of RNA-binding protein (RBP) assemblies engaged in the coordinative regulation of state-specific RNAs indicates alternative and exclusive means for determining the activation, plasticity and tolerance of cells of the immune system. Here we review current knowledge about RBP-regulated post-transcriptional events involved in the reactivity of cells of the immune system and the importance of their alteration during chronic inflammatory pathology and autoimmunity.
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Affiliation(s)
- Panagiota Kafasla
- Division of Immunology, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
| | - Antonis Skliris
- Division of Immunology, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
| | - Dimitris L Kontoyiannis
- Division of Immunology, Biomedical Sciences Research Center "Alexander Fleming", Vari, Greece
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34
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Zhan Y, Zhang R, Lv H, Song X, Xu X, Chai L, Lv W, Shang Z, Jiang Y, Zhang R. Prioritization of candidate genes for periodontitis using multiple computational tools. J Periodontol 2014; 85:1059-69. [PMID: 24476546 DOI: 10.1902/jop.2014.130523] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Both genetic and environmental factors contribute to the development of periodontitis. Genetic studies identified a variety of candidate genes for periodontitis. The aim of the present study is to identify the most promising candidate genes for periodontitis using an integrative gene ranking method. METHODS Seed genes that were confirmed to be associated with periodontitis were identified using text mining. Three types of candidate genes were then extracted from different resources (expression profiles, genome-wide association studies). Combining the seed genes, four freely available bioinformatics tools (ToppGene, DIR, Endeavour, and GPEC) were integrated for prioritization of candidate genes. Candidate genes that identified with at least three programs and ranked in the top 20 by each program were considered the most promising. RESULTS Prioritization analysis resulted in 21 promising genes involved or potentially involved in periodontitis. Among them, IL18 (interleukin 18), CD44 (CD44 molecule), CXCL1 (chemokine [CXC motif] ligand 1), IL6ST (interleukin 6 signal transducer), MMP3 (matrix metallopeptidase 3), MMP7, CCR1 (chemokine [C-C motif] receptor 1), MMP13, and TLR9 (Toll-like receptor 9) had been associated with periodontitis. However, the roles of other genes, such as CSF3 (colony stimulating factor 3 receptor), CD40, TNFSF14 (tumor necrosis factor receptor superfamily, member 14), IFNB1 (interferon-β1), TIRAP (toll-interleukin 1 receptor domain containing adaptor protein), IL2RA (interleukin 2 receptor α), ETS1 (v-ets avian erythroblastosis virus E26 oncogene homolog 1), GADD45B (growth arrest and DNA-damage-inducible 45 β), BIRC3 (baculoviral IAP repeat containing 3), VAV1 (vav 1 guanine nucleotide exchange factor), COL5A1 (collagen, type V, α1), and C3 (complement component 3), have not been investigated thoroughly in the process of periodontitis. These genes are mainly involved in bacterial infection, immune response, and inflammatory reaction, suggesting that further characterizing their roles in periodontitis will be important. CONCLUSIONS A combination of computational tools will be useful in mining candidate genes for periodontitis. These theoretical results provide new clues for experimental biologists to plan targeted experiments.
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Affiliation(s)
- Yuanbo Zhan
- Department of Periodontology and Oral Mucosa, Second Affiliated Hospital of Harbin Medical University, Harbin, China
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35
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An optogenetic gene expression system with rapid activation and deactivation kinetics. Nat Chem Biol 2014; 10:196-202. [PMID: 24413462 PMCID: PMC3944926 DOI: 10.1038/nchembio.1430] [Citation(s) in RCA: 245] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Accepted: 11/19/2013] [Indexed: 11/08/2022]
Abstract
Optogenetic gene expression systems can control transcription with spatial and temporal detail unequaled with traditional inducible promoter systems. However, current eukaryotic light-gated transcription systems are limited by toxicity, dynamic range or slow activation and deactivation. Here we present an optogenetic gene expression system that addresses these shortcomings and demonstrate its broad utility. Our approach uses an engineered version of EL222, a bacterial light-oxygen-voltage protein that binds DNA when illuminated with blue light. The system has a large (>100-fold) dynamic range of protein expression, rapid activation (<10 s) and deactivation kinetics (<50 s) and a highly linear response to light. With this system, we achieve light-gated transcription in several mammalian cell lines and intact zebrafish embryos with minimal basal gene activation and toxicity. Our approach provides a powerful new tool for optogenetic control of gene expression in space and time.
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36
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Martinez NM, Lynch KW. Control of alternative splicing in immune responses: many regulators, many predictions, much still to learn. Immunol Rev 2013; 253:216-36. [PMID: 23550649 PMCID: PMC3621013 DOI: 10.1111/imr.12047] [Citation(s) in RCA: 131] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Most mammalian pre-mRNAs are alternatively spliced in a manner that alters the resulting open reading frame. Consequently, alternative pre-mRNA splicing provides an important RNA-based layer of protein regulation and cellular function. The ubiquitous nature of alternative splicing coupled with the advent of technologies that allow global interrogation of the transcriptome have led to an increasing awareness of the possibility that widespread changes in splicing patterns contribute to lymphocyte function during an immune response. Indeed, a few notable examples of alternative splicing have clearly been demonstrated to regulate T-cell responses to antigen. Moreover, several proteins key to the regulation of splicing in T cells have recently been identified. However, much remains to be done to truly identify the spectrum of genes that are regulated at the level of splicing in immune cells and to determine how many of these are controlled by currently known factors and pathways versus unknown mechanisms. Here, we describe the proteins, pathways, and mechanisms that have been shown to regulate alternative splicing in human T cells and discuss what is and is not known about the genes regulated by such factors. Finally, we highlight unifying themes with regards to the mechanisms and consequences of alternative splicing in the adaptive immune system and give our view of important directions for future studies.
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Affiliation(s)
- Nicole M Martinez
- Department of Biochemistry and Biophysics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104-6059, USA
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37
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Bleckmann A, Siam L, Klemm F, Rietkötter E, Wegner C, Kramer F, Beissbarth T, Binder C, Stadelmann C, Pukrop T. Nuclear LEF1/TCF4 correlate with poor prognosis but not with nuclear β-catenin in cerebral metastasis of lung adenocarcinomas. Clin Exp Metastasis 2012; 30:471-82. [PMID: 23224985 PMCID: PMC3616220 DOI: 10.1007/s10585-012-9552-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2012] [Accepted: 11/12/2012] [Indexed: 01/15/2023]
Abstract
An essential function of the transcription factors LEF1/TCF4 in cerebral metastases of lung adenocarcinomas has been described in mouse models, suggesting a WNT/β-catenin effect as potential mechanism. Their role in humans is still unclear, thus we analyzed LEF1, TCF4, β-catenin, and early stage prognostic markers in 25 adenocarcinoma brain metastases using immunohistochemistry (IHC). IHC revealed nuclear TCF4 in all adenocarcinoma samples, whereas only 36 % depicted nuclear LEF1 and nuclear β-catenin signals. Samples with nuclear LEF1 as well as high TCF4 (++++) expression were associated with a shorter survival (p = 0.01, HR = 6.68), while nuclear β-catenin had no significant impact on prognosis and did not significantly correlate with nuclear LEF1. High proliferation index Ki67 was associated with shorter survival in late-stage disease (p = 0.03, HR 3.27). Additionally, we generated a LEF1/TCF4 as well as an AXIN2 signature, the latter as representative of WNT/β-catenin activity, following a bioinformatics approach with a gene expression dataset of cerebral metastases in lung adenocarcinoma. To analyze the prognostic relevance in primary lung adenocarcinomas, we applied both signatures to a microarray dataset of 58 primary lung adenocarcinomas. Only the LEF1/TCF4 signature was able to separate clusters with impact on survival (p = 0.01, HR = 0.32). These clusters displayed diverging enrichment patterns of the cell cycle pathway. In conclusion, our data show that LEF1/TCF4, but not β-catenin, have prognostic relevance in primary and cerebrally metastasized human lung adenocarcinomas. In contrast to the previous in vivo findings, these results indicate that LEF1/TCF4 act independently of β-catenin in this setting.
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Affiliation(s)
- A. Bleckmann
- Department of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany
- Department of Medical Statistics, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - L. Siam
- Department of Neurosurgery, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - F. Klemm
- Department of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - E. Rietkötter
- Department of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - Chr. Wegner
- Department of Neuropathology, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - F. Kramer
- Department of Medical Statistics, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - T. Beissbarth
- Department of Medical Statistics, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - C. Binder
- Department of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - Chr. Stadelmann
- Department of Neuropathology, University Medical Center Göttingen, 37099 Göttingen, Germany
| | - T. Pukrop
- Department of Hematology/Oncology, University Medical Center Göttingen, 37099 Göttingen, Germany
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38
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Nagalski A, Irimia M, Szewczyk L, Ferran JL, Misztal K, Kuznicki J, Wisniewska MB. Postnatal isoform switch and protein localization of LEF1 and TCF7L2 transcription factors in cortical, thalamic, and mesencephalic regions of the adult mouse brain. Brain Struct Funct 2012; 218:1531-49. [PMID: 23152144 PMCID: PMC3825142 DOI: 10.1007/s00429-012-0474-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2012] [Accepted: 10/25/2012] [Indexed: 02/06/2023]
Abstract
β-Catenin signaling, leading to the activation of lymphoid enhancer-binding factor 1/T cell factor (LEF1/TCF) transcription factors, plays a well-established role in transcription regulation during development and tissue homeostasis. In the adult organism, the activity of this pathway has been found in stem cell niches and postmitotic thalamic neurons. Recently, studies show that mutations in components of β-catenin signaling networks have been associated with several psychiatric disorders, indicating the involvement of β-catenin and LEF1/TCF proteins in the proper functioning of the brain. Here, we report a comprehensive analysis of LEF1/TCF protein localization and the expression profile of their isoforms in cortical, thalamic, and midbrain regions in mice. We detected LEF1 and TCF7L2 proteins in neurons of the thalamus and dorsal midbrain, i.e., subcortical regions specialized in the integration of diverse sources of sensory information. These neurons also exhibited nuclear localization of β-catenin, suggesting the involvement of β-catenin/LEF1/TCF7L2 in the regulation of gene expression in these regions. Analysis of alternative splicing and promoter usage identified brain-specific TCF7L2 isoforms and revealed a developmentally coordinated transition in the composition of LEF1 and TCF7L2 isoforms. In the case of TCF7L2, the typical brain isoforms lack the so-called C clamp; in addition, the dominant-negative isoforms are predominant in the embryonic thalamus but disappear postnatally. The present study provides a necessary framework to understand the role of LEF1/TCF factors in thalamic and midbrain development until adulthood and predicts that the regulatory role of these proteins in the adult brain is significantly different from their role in the embryonic brain or other non-neural tissues.
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Affiliation(s)
- A Nagalski
- Laboratory of Neurodegeneration, International Institute of Molecular and Cell Biology, 4 Ks. Trojdena Street, 02-109, Warsaw, Poland
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39
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Martinez NM, Pan Q, Cole BS, Yarosh CA, Babcock GA, Heyd F, Zhu W, Ajith S, Blencowe BJ, Lynch KW. Alternative splicing networks regulated by signaling in human T cells. RNA (NEW YORK, N.Y.) 2012; 18:1029-40. [PMID: 22454538 PMCID: PMC3334690 DOI: 10.1261/rna.032243.112] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2012] [Accepted: 02/15/2012] [Indexed: 05/24/2023]
Abstract
The formation and execution of a productive immune response requires the maturation of competent T cells and a robust change in cellular activity upon antigen challenge. Such changes in cellular function depend on regulated alterations to protein expression. Previous research has focused on defining transcriptional changes that regulate protein expression during T-cell maturation and antigen stimulation. Here, we globally analyze another critical process in gene regulation during T-cell stimulation, alternative splicing. Specifically, we use RNA-seq profiling to identify 178 exons in 168 genes that exhibit robust changes in inclusion in response to stimulation of a human T-cell line. Supporting an important role for the global coordination of alternative splicing following T-cell stimulation, these signal-responsive exons are significantly enriched in genes with functional annotations specifically related to immune response. The vast majority of these genes also exhibit differential alternative splicing between naive and activated primary T cells. Comparison of the responsiveness of splicing to various stimuli in the cultured and primary T cells further reveals at least three distinct networks of signal-induced alternative splicing events. Importantly, we find that each regulatory network is specifically associated with distinct sequence features, suggesting that they are controlled by independent regulatory mechanisms. These results thus provide a basis for elucidating mechanisms of signal pathway-specific regulation of alternative splicing during T-cell stimulation.
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Affiliation(s)
- Nicole M. Martinez
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Qun Pan
- Banting and Best Department of Medical Research and
| | - Brian S. Cole
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Christopher A. Yarosh
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Grace A. Babcock
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Florian Heyd
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - William Zhu
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Sandya Ajith
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
| | - Benjamin J. Blencowe
- Banting and Best Department of Medical Research and
- Department of Molecular Genetics, Donnelly Centre, University of Toronto, Toronto, Ontario, Canada M5S 3E1
| | - Kristen W. Lynch
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104-6059, USA
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40
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Heyd F, Lynch KW. PSF controls expression of histone variants and cellular viability in thymocytes. Biochem Biophys Res Commun 2011; 414:743-9. [PMID: 22001927 DOI: 10.1016/j.bbrc.2011.09.149] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2011] [Accepted: 09/28/2011] [Indexed: 11/24/2022]
Abstract
Even with the availability of tissue-restricted knockouts, studying the role of essential, multifunctional proteins in vivo is often complicated by the complete loss of cell viability. Here we make use of a knock-down approach to investigate the function of the essential protein PSF (polypyrimidine tract binding protein-associated splicing factor) in thymocytes. PSF is an RNA- and DNA-binding protein that has roles in all aspects of RNA biogenesis from transcription to stability. We show that a 50% reduction in expression of PSF in the thymus leads to an increase in apoptosis and a corresponding decrease in thymic cellularity. Using microarrays we find that thymocytes depleted of PSF show reduced expression of several histone genes relative to wildtype littermates likely due to reduced mRNA stability. Remarkably, reduced expression of a specific one of these histone genes (H2AE from histone cluster 1) is sufficient to induce apoptosis of a cultured T cell line. Therefore, we conclude that PSF contributes to the stability of a subset of histone genes and that loss of H2AE expression in the PSF-deficient thymocytes uniquely contributes to an increase in thymic apoptosis.
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Affiliation(s)
- Florian Heyd
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, 422 Curie Blvd., Philadelphia, PA 19104-6059, USA.
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41
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Heyd F, Lynch KW. Degrade, move, regroup: signaling control of splicing proteins. Trends Biochem Sci 2011; 36:397-404. [PMID: 21596569 PMCID: PMC3155649 DOI: 10.1016/j.tibs.2011.04.003] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2011] [Revised: 04/12/2011] [Accepted: 04/13/2011] [Indexed: 11/23/2022]
Abstract
With recent advances in microarrays and sequencing it is now relatively straightforward to compare pre-mRNA splicing patterns in different cellular conditions on a genome-wide scale. Such studies have revealed extensive changes in cellular splicing programs in response to stimuli such as neuronal depolarization, DNA damage, immune signaling and cellular metabolic changes. However, for many years our understanding of the signaling pathways responsible for such splicing changes was greatly lacking. Excitingly, over the past few years this gap has begun to close. Recent studies now suggest notable trends in the mechanisms that link cellular stimuli to downstream alternative splicing events. These include regulated synthesis or degradation of splicing factors, differential protein-protein interactions, altered nuclear translocation and changes in transcription elongation.
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Affiliation(s)
- Florian Heyd
- Department of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104-6059, USA
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